Population Harvesting: Demographic Models of Fish, Forest, and Animal Resources (Monographs in Population Biology, 27)
Language: English
Published by Princeton University Press, 1989
- Hardcover
- Used
Seller: -OnTimeBooks-, Phoenix, AZ, U.S.A.-OnTimeBooks-
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Condition: Used - Good
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A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.
Seller Inventory # OTV.0691085153.G
- Title
- Population Harvesting: Demographic Models of Fish, Forest, and Animal Resources (Monographs in Population Biology, 27)
- Author
- Getz, Wayne M.; Haight, Robert G.
- Publisher
- Princeton University Press
- Publication year
- 1989
- Condition
- good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0691085153
- ISBN 13
- 9780691085159
- Series
- Book 53 of 64: Monographs in Population Biology
Whether in felling trees for wood, rearing insects for biological control, or culling animals for conservation purposes, efficient management of biological systems requires quantitative analysis of population growth and harvesting policies. Aiming to encourage the exchange of ideas among scientists involved in the management of fisheries, wildlife, forest stands, and pest control, the authors of this work present a general framework for modeling populations that reproduce seasonally and that have age or stage structure as an essential component of management strategy.
The book represents the first time that examples from such diverse areas of biological resource management have been brought together in a unified modeling framework using the standard notation of mathematical systems theory. In addition, the authors combine a nonlinear extension of Leslie matrix theory and certain linear elements, thereby permitting interesting analytical results and the creation of compact, realistic simulation models of resource systems.
"Synopsis" may belong to another edition of this title.
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